Senior Storage and Data Production Engineer

at Nvidia
📍 Santa Clara, United States
USD 148,000-287,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 4 Ansible @ 4 Ceph @ 4 Chef @ 4 Go @ 4 Kubernetes @ 4 Linux @ 4 Prometheus @ 4 Ruby @ 4 Terraform @ 4 Python @ 4 Java @ 4 Algorithms @ 4 Data Structures @ 4 Mathematics @ 6 Networking @ 4 Perl @ 4 Puppet @ 4 Compliance @ 4

Details

Production engineering is a team that involves designing, building, and maintaining large-scale production systems with high efficiency and availability. It encompasses various areas, including software and systems engineering practices, storage, data management, and services. Production Engineers possess expertise in different domains, such as storage architecture, high-performance distributed storage, data management, systems, networking, coding, database management, capacity planning, continuous delivery, and deployment, as well as open-source cloud-enabling technologies like Kubernetes, containers, and virtualization. Their responsibilities include ensuring reliable, scalable, high-performance storage solutions, optimizing data placement and access patterns, managing large-scale distributed storage systems, and ensuring low-latency data access for high-performance computing (HPC) and AI/ML workloads.

Responsibilities

  • Design, implement, and support large-scale storage clusters, ensuring scalability, high availability, and data integrity.
  • Develop and maintain storage monitoring, logging, and alerting systems to ensure proactive detection and resolution of performance issues.
  • Work with AI/ML workloads to optimize storage architectures for low-latency access, efficient caching, and high-throughput performance. Improve the lifecycle of storage services – from inception and design to deployment, operation, and continuous optimization.
  • Support storage services before they launch through activities such as system design consulting, developing automation frameworks, capacity management, and launch reviews.
  • Maintain storage infrastructure once live by monitoring availability, latency, and system health, using predictive analytics and AI-driven automation.
  • Optimize storage efficiency through compression, duplication, tiering strategies, and intelligent workload placement.
  • Scale storage systems sustainably using AI/ML-driven automation, policy-based tiering, and dynamic data migration techniques. Ensure data security and compliance by implementing encryption, access controls, and auditing mechanisms for storage systems.
  • Practice sustainable incident response and blameless postmortems. Be part of an on-call rotation to support storage and production systems.

Requirements

  • BS degree or equivalent experience in Computer Science, Storage Systems, or a related technical field (e.g., physics, mathematics), and 5+ years of practical experience.
  • Experience with high-performance storage solutions, including parallel file systems (Lustre, GPFS), distributed storage (Ceph, MinIO), and enterprise-scale object storage (S3, NetApp, Pure Storage, etc.).
  • Solid understanding of block, file, and object storage technologies, including their performance characteristics and standard methodologies.
  • Experience with storage networking protocols such as NFS, SMB, iSCSI, Fibre Channel, RDMA, and NVMe over Fabrics.
  • Expertise in algorithms, data structures, complexity analysis, software design, and maintaining large-scale Linux-based storage systems.
  • Experience in one or more of the following: C/C++, Java, Python, Go, Perl, or Ruby for storage automation, monitoring, and performance tuning.
  • Hands-on experience with infrastructure configuration management tools like Ansible, Chef, Puppet, and Terraform for automating storage deployments.
  • Experience with observability and tracing tools like InfluxDB, Prometheus, and the Elastic stack for monitoring storage system health.

Benefits

At NVIDIA, you’ll be at the forefront of innovative storage technologies, working on high-performance storage solutions that power the next generation of AI, HPC, and cloud computing. NVIDIA is leading in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking, and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you!

The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.